Preparing your workspace…

Install for LM Studio

Run open models on your own machine and give them a memory. Add the server in LM Studio's mcp.json — the model stays local, the memory follows you.

1 Get your link
2 Add it
3 Send a message
· ~30 seconds

You can read the LM Studio setup steps without signing in.

Sign in when you are ready to create a private token, or replace the placeholder in the command below with an existing Great Arrow token.

Step 1 · Get your secure link

The install command below is public, but LM Studio needs its own private link before it can access your Great Arrow workspace. Sign in to create one, or paste an existing link code anywhere you see gad_PASTE_YOUR_TOKEN.

Step 2 · Add it to LM Studio

LM Studio runs open models on your own machine and can connect to this server (0.3.17 or newer). The model stays local and gains a memory that follows you to every other AI tool you use. Docs at lmstudio.ai/docs.

In LM Studio open the Program tab (right sidebar) → Install → Edit mcp.json
Merge the JSON below into the mcpServers object (preserve any servers you already have) and save
Toggle great-arrow on in the Integrations list, then ask your model what it remembers

LM Studio mcp.json (mcpServers block, Cursor notation)json

{
  "mcpServers": {
    "great-arrow": {
      "url": "https://www.greatarrow.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer gad_PASTE_YOUR_TOKEN",
        "X-MCP-Client": "lm-studio",
        "X-GAD-Install-Version": "2026.08.08"
      }
    }
  }
}

Step 3 · Send your first message

Finish step 2, then come back here — we'll watch for your first message.

Common questions

Preparing your workspace…